Triple
T15553347
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Smino |
E370806
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | Monte Booker |
E1137934
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Monte Booker | Statement: [Smino, associatedAct, Monte Booker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Monte Booker Context triple: [Smino, associatedAct, Monte Booker]
-
A.
Monte Booker
chosen
Monte Booker is an American music producer and key figure in the Soulection collective, known for his innovative, percussion-heavy, and jazz-influenced hip-hop and R&B beats.
-
B.
Monte Pearce
Monte Pearce is the son of Australian actor Guy Pearce and Dutch actress Carice van Houten.
-
C.
Monte Frank
Monte Frank is a Connecticut attorney and civic leader who ran for governor as a third-party candidate in the 2018 Connecticut gubernatorial election.
-
D.
Monte Brown
Monte Brown is a musician best known for his work with the new wave band Tom Tom Club.
-
E.
Monte McNair
Monte McNair is an NBA executive best known for leading the Sacramento Kings’ front office and helping end the franchise’s long playoff drought through savvy roster building.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d85cc6cf40819091f4a5facee1ebe6 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04a96c0c88190808f68601a36b506 |
completed | April 16, 2026, 2:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff4560008c81908ebd278c3dc45045 |
completed | May 9, 2026, 2:32 p.m. |
Created at: April 10, 2026, 4:09 a.m.